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This presentation provides a straightforward overview of the HuggingFace Transformers and Diffusers libraries. Aimed at those without a deep understanding of AI or ML, we’ll focus on practical, hands-on applications. We conclude by setting up a Flask app that generates AI images, demonstrating how these tools can be used to create useful applications.
In this episode, I planned to do the work of sending email prompts for the journal to users. Along the path, we realized that the Account model was missing, so I stopped to build that out before we could proceed. By the end of the stream, we had a working background job that would send email and was 100% unit tested.
In this episode, we returned to our DNS configuration from the previous stream and worked on testing email from end to end on the production site. On the stream, we spent a lot of time looking through SendGrid documentation, digging into layers of DNS, and troubleshooting the challenges that can arise when getting a site online.
In this episode, we did the work to deploy the site to Heroku to make the site live. We configured the production site, fixed some missing settings, and connected to the relevant DNS configuration.
In this episode, I added the deployment checklist and improved the security of the app. Then we moved to work to set up the database to use DATABASE_URL and prepare to use Postgres.
